---
title: "Thomas Scialom — papers of 2023 — Elamur Research"
description: "Thomas Scialom — papers of 2023: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Thomas Scialom — papers of 2023 — Elamur Research

5 papers · [all years of Thomas Scialom](https://md.research.elamur.ai/free/en/authors/thomas-scialom/#years)

**[Toolformer: Language Models Can Teach Themselves to Use Tools](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.*2023 · 2,065 citations*

**[Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor](https://md.research.elamur.ai/free/en/papers/honovich-2023-unnatural-instructions-tuning-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Or Honovich, Thomas Scialom, Omer Levy, et al.*2023 · 366 citations*

- [GAIA: a benchmark for General AI Assistants arXiv:2311.12983](https://md.research.elamur.ai/free/en/papers/mialon-2023-gaia-benchmark-general-ai-assistants/) — Gregoire Mialon, Clementine Fourrier, Craig Swift, et al. · 2023 · 232 citations
- [Nougat: Neural Optical Understanding for Academic Documents arXiv:2308.13418](https://md.research.elamur.ai/free/en/papers/blecher-2023-nougat-neural-optical-understanding-academic/) — Lukas Blecher, Guillem Cucurull, Thomas Scialom, et al. · 2023 · 100 citations
- [WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models arXiv:2311.15930](https://md.research.elamur.ai/free/en/papers/benchekroun-2023-worldsense-synthetic-benchmark-grounded-reasoning/) — Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, et al. · 2023 · 15 citations